Over the years, we have seen many changes in the technologies and Big Data is one amongst them. With the introduction of Big Data in industries such as e-commerce, there is a huge demand for data scientists. If you're aspiring to become a data scientist you have to know what is data science.
What Is Data Science?
Data science is a multidisciplinary field where the scientific methods, data interface, algorithm development and others come together to solve analytical problems and achieve a particular purpose. With data science, one can achieve business objectives.
Who Is A Data Scientist?
Data scientists are a blend of mathematicians and computer scientists. The primary responsibility of a data scientist is to carry out analyses based on data to find trends in the market. Data scientists will operate both the business and the IT worlds.
For this reason, a career in data science will provide a plethora of opportunities and are well paid. Earlier, the companies have recruited statisticians and data analysts as data scientists. When the field has become more specific, companies are looking for candidates who have pursued a professional course in data science.
How To Become A Data Scientist?
In order to pursue a career in data science, one should have a basic foundation study in information technology (IT). One can take up data science profession with a degree in computer science, computer science engineering, management information systems (MIS) and other related studies in mathematics and science.
Though this profession is open to all, candidates who have a foundation in maths and science will find it easier. Candidates can also pursue this course with a statistics background.
Skills Required For Data Scientist
In order to become a data scientist, one should possess various skills, both in technical and non-technical areas. Here are the best skills for data analysts.
1. Analytical Skills
Data scientists should have strong analytical skills to know which data is used to solve the problems of business such as customer retention. Analytical skills will help in this area.
2. Programming Languages
One has to know about the basic programming languages besides how to use Hadoop, which is an open-source software used for sorting data.
3. Mathematics & Statistics
As stated above, one should have mathematics and statistical knowledge to become a data scientist. The knowledge of mathematics will be useful while building or managing databases. The statistical knowledge will help in data modelling.
4. Presentation Skills
Strong presentation skills are required for data scientists because they have to display their findings to their team.
5. Communication Skills
Communication skills are required in every profession and data science is no exception. Data scientists should have strong communication skills which are required to communicate with clients and teams.